Bernstein polynomial probability density estimation
By Yoshihide Kakizawa. 2004
73 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/96652e48c8d9c40d81a6f0a6bf5174867125a2b9
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In Artificial Intelligence
In Computational Theory and Mathematics
In Control and Systems Engineering
Citations in the corpus
- Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount (2019, unknown): “Applying similar mathematical derivations found in Kakizawa (2004) and Leblanc (2010), it is possible to show that σ × LSCV θ ( m ) is equal to where A m,m and G m are identical to their definitions in (10).”
- A bias-reduced approach to density estimation using Bernstein polynomials (2010, methodology): “The second example we consider is based on the tuna data, given in Chen (1996), and also considered by Chen (1999) and Kakizawa (2004).”